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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkActiveShapeModelGradientSearchMethod.h
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkActiveShapeModelGradientSearchMethod_h
#define __itkActiveShapeModelGradientSearchMethod_h
#include <time.h>
#include <math.h>
#include "vnl/vnl_vector.h"
#include "vnl/vnl_matrix.h"
#include "vnl/vnl_math.h"
#include "itkImageToImageFilter.h"
#include "itkImage.h"
#include "itkNumericTraits.h"
#include "itkImageRegionConstIterator.h"
#include "itkGradientMagnitudeImageFilter.h"
#include "itkVector.h"
#include "itkListSample.h"
#include "itkExceptionObject.h"
#include "itkConceptChecking.h"
#include <vector>
#include <list>
namespace itk {
/** \class ActiveShapeModelGradientSearchMethod
* \brief Base class for ActiveShapeModelGradientSearchMethod object
*
* itkActiveShapeModelGradientSearchMethod performs a search along normal direction for
* the strongest edge on each landmark position.
*
* \par REFERENCES
* \par
* [1] Cootes T., Taylor C., et. al, Active Shape Models - Their training and application,
* Comput. Vis. Image Understanding, vol. 61, pp. 38-59, 1995.
*
*
*
*\ingroup Operators */
template < class TImage >
class ITK_EXPORT ActiveShapeModelGradientSearchMethod : public Object
{
public:
/** Standard class typedefs. */
typedef ActiveShapeModelGradientSearchMethod<TImage> Self;
typedef Object Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(ActiveShapeModelGradientSearchMethod, Object);
/** Image typedef support */
typedef TImage InputImageType;
typedef Image< double, 2 > Image2DType;
/** Type for the region of the input image. */
typedef typename InputImageType::RegionType RegionType;
/** Type for the index of the input image. */
typedef typename RegionType::IndexType IndexType;
/** Type for the index of the input image. */
typedef typename InputImageType::PixelType PixelType;
/** Type for the size of the input image. */
typedef typename RegionType::SizeType SizeType;
/** Pointer Type for input image. */
typedef typename InputImageType::ConstPointer InputImagePointer;
/** Standard filter type within this class. */
typedef GradientMagnitudeImageFilter< InputImageType, Image2DType> GradientFilterType;
/** Standard vector type within this class. */
typedef Vector< unsigned int, 2 > MeasurementVectorUIntType;
typedef Vector< double, 2 > MeasurementVectorDoubleType;
typedef std::vector<unsigned int> VectorType;
typedef vnl_vector<double> VectorOfDoubleType;
/** Standard matrix type within this class. */
typedef vnl_matrix<double> MatrixOfDoubleType;
/** Standard list type within this class. */
typedef Statistics::ListSample< MeasurementVectorUIntType > SampleType;
/** Standard iterator type within this class. */
typedef ImageRegionConstIterator< Image2DType > ConstIteratorType;
/** Set the input image. */
virtual void SetImage( const InputImageType * image )
{
if ( m_Image != image )
{
m_Image = image;
this->Modified();
m_Valid = false;
}
}
/** Set/Get the lenght of profile */
itkSetMacro( LenghtOfProfile, unsigned int );
itkGetMacro( LenghtOfProfile, unsigned int );
/** Set/Get the number ofinteration */
itkSetMacro( NumberOfIteration, unsigned int );
itkGetMacro( NumberOfIteration, unsigned int );
/** Set/Get the initial shape */
itkSetMacro( MeanShape, VectorOfDoubleType );
itkGetMacro( MeanShape, VectorOfDoubleType );
/** Set/Get the eigen values */
itkSetMacro( EigenValues, VectorOfDoubleType );
itkGetMacro( EigenValues, VectorOfDoubleType );
/** Set/Get the eigen vectors */
itkSetMacro( EigenVectors, MatrixOfDoubleType );
itkGetMacro( EigenVectors, MatrixOfDoubleType );
/** Compute a new shape.
* This method computes a new shape from a mean, eigenvectors and eigenvalues
* given as a parameter and stores it in the object. The values of these
* parameters can then be retrieved by using
* other methods of this object. */
void GenerateData( );
/** Return the mean Shape of the model (x1 y1 x2 y2 ... xn yn),
* where n = n. of landmarks */
VectorOfDoubleType GetNewShape();
protected:
ActiveShapeModelGradientSearchMethod();
~ActiveShapeModelGradientSearchMethod() {};
void PrintSelf(std::ostream& os, Indent indent) const;
private:
ActiveShapeModelGradientSearchMethod(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
bool m_Valid; // Have parameters been computed yet?
VectorOfDoubleType m_MeanShape;
MatrixOfDoubleType m_EigenVectors;
VectorOfDoubleType m_EigenValues;
unsigned int m_LenghtOfProfile;
unsigned int m_NumberOfIteration;
VectorOfDoubleType m_DiffVector;
VectorOfDoubleType m_Db;
VectorOfDoubleType m_Blimit;
VectorOfDoubleType m_NewShape;
InputImagePointer m_Image;
}; // class ActiveShapeModelGradientSearchMethod
} // end of namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkActiveShapeModelGradientSearchMethod.txx"
#endif
#endif
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